Literature DB >> 35054084

Awake Prone Positioning, High-Flow Nasal Oxygen and Non-Invasive Ventilation as Non-Invasive Respiratory Strategies in COVID-19 Acute Respiratory Failure: A Systematic Review and Meta-Analysis.

Benedikt Schmid1, Mirko Griesel2, Anna-Lena Fischer2, Carolina S Romero3, Maria-Inti Metzendorf4, Stephanie Weibel1, Falk Fichtner2.   

Abstract

BACKGROUND: Acute respiratory failure is the most important organ dysfunction of COVID-19 patients. While non-invasive ventilation (NIV) and high-flow nasal cannula (HFNC) oxygen are frequently used, efficacy and safety remain uncertain. Benefits and harms of awake prone positioning (APP) in COVID-19 patients are unknown.
METHODS: We searched for randomized controlled trials (RCTs) comparing HFNC vs. NIV and APP vs. standard care. We meta-analyzed data for mortality, intubation rate, and safety.
RESULTS: Five RCTs (2182 patients) were identified. While it remains uncertain whether HFNC compared to NIV alters mortality (RR: 0.92, 95% CI 0.65-1.33), HFNC may increase rate of intubation or death (composite endpoint; RR 1.22, 1.03-1.45). We do not know if HFNC alters risk for harm. APP compared to standard care probably decreases intubation rate (RR 0.83, 0.71-0.96) but may have little or no effect on mortality (RR: 1.08, 0.51-2.31).
CONCLUSIONS: Certainty of evidence is moderate to very low. There is no compelling evidence for either HFNC or NIV, but both carry substantial risk for harm. The use of APP probably has benefits although mortality appears unaffected.

Entities:  

Keywords:  COVID-19; awake prone positioning; high-flow nasal cannula; non-invasive ventilation; respiratory failure; systematic review

Year:  2022        PMID: 35054084      PMCID: PMC8782004          DOI: 10.3390/jcm11020391

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


1. Introduction

As of November 2021, there have been more than 250 million confirmed SARS-CoV-2 cases with more than five million deaths globally [1]. Although many infections present with no or mild symptoms, more severe cases can be characterized by hypoxemia, which then often leads to hospitalization. Reports on large registry datasets found hospitalization rates of 14.0% and the need for ICU admission in 2.3–5% of all confirmed cases [2,3]. Among the most dangerous manifestations of the SARS-CoV-2 infection is the progression of respiratory insufficiency to acute respiratory distress syndrome (ARDS). Out of all hospitalized patients, 17% were found to require invasive mechanical ventilation in an analysis of health insurance data [4]. To alleviate the burden of disease for both patients and healthcare systems during this pandemic, researchers have been eager to find the best strategies for the therapeutic management of COVID-19-associated respiratory failure. Early on, COVID-ARDS was suspected to be pathophysiologically and morphologically different from known (infectious or non-infectious) ARDS [5,6]. However, later and larger studies did not confirm these early theories [7,8,9]. As a result, the principles of respiratory therapy for COVID-19 associated respiratory failure were similar to those of “conventional” ARDS [10]. After the initial trend towards early intubation to reduce aerosols, in the context of an ongoing global health crisis and in an alleged attempt to spare resources by both questioning work-intensive procedures and preventing disease progression as early as possible, research also started focusing on non-invasive ventilation (NIV) and high-flow nasal cannula oxygen administration. NIV can be applied by a face mask or helmet, both of which have to be fixed tightly to prevent pressure loss. A continuous positive airway pressure is applied and shall prevent collapse of the alveoli and atelectasis. HFNC promises to increase patient comfort, require less attention by healthcare professionals than conventional non-invasive ventilation, and may help avoid invasive ventilation, too [11,12]. Non-invasive ventilation strategies have been found to reduce mortality and lower the risk of intubation [13]. So far, no evidence-based recommendations favor either HFNC or conventional non-invasive ventilation (NIV) [14]. Awake prone positioning (APP) was hypothesized to lead to similar physiological improvements (e.g., reduction of ventilation-perfusion mismatches) as prone positioning in sedated, intubated patients [15,16], but perhaps do so in an earlier stage of the disease, thus slowing down or avoiding progression to more severe conditions. Case series and non-randomized controlled trials (non-RCTs) suggested feasibility of APP and a potential clinical benefit for patients with hypoxemic respiratory failure [17,18,19]. For both research questions (i.e., the value of HFNC or NIV and APP in COVID-19-associated respiratory failure), we prospectively registered protocols for systematic reviews on the matter. Here, we report and analyze the available evidence on HFNC vs. NIV and APP vs. standard of care (SoC) on COVID-19-associated respiratory failure. We provide meta-analyses for pre-defined, patient-centered core outcomes and assess certainty of evidence and possible resulting recommendations using systematic, validated approaches.

2. Methods

To assess the efficacy of awake prone positioning (APP) and the use of high-flow nasal oxygen or non-invasive ventilation (NIV), respectively, on COVID-19-induced respiratory failure, we included randomized controlled trials. Non-RCT designs were not eligible in case that RCT(s) on the matter were available. Thus, we excluded controlled, non-randomized studies and observational studies. We included full-text journal publications, preprint articles, abstracts publications and results published in trial registries if they provided information in sufficient detail. The methodology was predefined and registered in two separate PROSPERO protocols with any deviations pointed out below (APP/SoC: CRD42021261862 [20]; HFNC/NIV: CRD42021230825 [21]) We conducted two separate systematic searches for each topic in the following sources from initiation of those databases to the date of search without restrictions on the language of publication: Cochrane COVID-19 Study Register (COVID-19.cochrane.org), comprising Cochrane Central Register of Controlled Trials, MEDLINE (PubMed), Embase, ClinicalTrials.gov, WHO International Clinical Trials Registry Platform, and medRxiv (last searched on 26 October 2021 for both topics); WHO COVID-19 Global literature on coronavirus disease (https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov) (last searched on 26 October 2021 for both topics); Web of Science (Science Citation Index Expanded and Emerging Sources Citation Index) (last searched on 1 March 2021 for NIV and 7 June 2021 for APP); CINAHL (Cumulative Index to Nursing and Allied Health Literature) (last searched on 1 March 2021 for NIV and 7 June 2021 for APP). For detailed search strategies, see Appendix A. We identified other potentially eligible studies or ancillary publications by searching the reference lists of included studies, relevant systematic reviews and meta-analyses. We included studies investigating adult patients with severe respiratory failure due to COVID-19 infection according to the WHO clinical progression scale [22]. This includes patients with the need for high-flow nasal oxygen, non-invasive ventilation, or invasive ventilation. COVID-19 infection had to be confirmed by reverse-transcription polymerase chain reaction (RT-PCR) or highly suspected by clinical presentation of the patient. With regard to awake proning, full prone or 135° prone positioning were acceptable interventions. We did not define any restrictions on the duration of proning per day. Standard of care as the comparator was defined as 90° or supine positioning and otherwise all diagnostic and therapeutic interventions considered necessary at the treating physician’s discretion. With regard to non-invasive ventilation, we deviated from the initially registered protocol: We focused on the highly relevant question from daily clinical practice about the efficacy and safety of HFNC (intervention) compared to NIV (standard care) as a non-invasive strategy of respiratory support. We did not include trials comparing different ventilator settings within HFNC or NIV, nor comparing simple oxygen insufflation or invasive ventilation to either HFNC or NIV. Additionally, we excluded comparisons of NIV vs. awake proning because there is no rationale not to combine both. The outcome set and the analysis specifications were adapted to the latest version of the APP protocol [20]. We evaluated core outcomes in accordance with the Core Outcome Measures in Effectiveness Trials (COMET) initiative for COVID-19 patients [22]. These outcomes were in part modified to better represent the nature of the non-pharmacological interventions investigated in this meta-analysis. Additional outcomes specific to our research question were also added. The following outcome set served as the basis for our analyses: Main outcomes: All-cause mortality at day 28, day 60, and time-to-event, and at hospital discharge Clinical status at day 28, day 60, and up to the longest follow-up, including: worsening of clinical status: patients with clinical deterioration or death improvement of clinical status: patients discharged alive without clinical deterioration or death quality of life, including fatigue and neurological status, assessed with standardized scales at up to 7 days, up to 28 days and longest follow-up available Serious adverse events during the study period, defined as number of patients with any event Adverse events (any grade) during the study period, defined as the number of patients with any event Additional outcomes: Clinical status at day 28, day 60 and up to longest follow up, including: worsening of clinical status: new need for invasive mechanical ventilation improvement of clinical status: weaning or liberation from invasive mechanical ventilation liberation from supplemental oxygen in surviving patients ventilator-free days duration to liberation from invasive mechanical ventilation duration to liberation from supplemental oxygen Admission to intensive care unit at day 28 Duration of hospitalization Skin lesions from proning measures Two review authors independently identified studies possibly eligible for this review. If encountering disagreement, we consulted a third review author and resolved all discrepancies by discussion. Further, two review authors independently extracted data using a standardized data extraction form. Two review authors independently assessed the risk of bias for RCTs using the Cochrane “Risk of Bias” tool 2 (RoB2) [23]. The effect of interest is the effect of assignment at baseline, regardless of whether the interventions were received as intended (intention-to-treat). Risk of bias was assessed for all results which were identified as one of the predefined outcomes of this review. The overall risk of bias for each outcome was summarized according to RoB2 guidance. Random effects meta-analyses were performed with RevMan 5, as far as the patient characteristics (disease severity) and interventions (standard care and treatment settings) were comparable across studies. Dichotomous outcomes were recorded as number of events and total patient number in all study groups. Pooled risk ratios (RR) and 95% confidence intervals (95% CI) were calculated. Continuous outcomes were recorded as mean, standard deviation and total number of patients in each group. Comparisons of continuous outcomes were reported as the difference of means (MD) and the corresponding 95% CI. Statistical heterogeneity was defined as p < 0.1 for the Chi2 test of heterogeneity or I2 ≥ 50%. We had planned to explore heterogeneity by subgroup analysis to calculate RR or MD in conjunction with the corresponding CI for each subgroup if sufficient studies had been available (at least 10 studies per outcome). For the current review, there were not enough studies available. Certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Summary of findings tables were created using the MAGICapp software (Norwegian MAGIC Evidence Ecosystem Foundation powered by UserVoice Inc.; MAGICapp. Brønnøysund, Norway) for the proning part and GRADEpro APP (GRADEpro GDT: GRADEpro Guideline Development Tool [Software]. McMaster University and Evidence Prime, 2021. Available from gradepro.org (accessed on 6 January 2022)) for the HFNC/NIV part. According to the five domains used in the GRADE approach, we downgraded the certainty of evidence of each individual outcome as follows: serious (−1) or very serious (−2) risk of bias serious (−1) or very serious (−2) inconsistency serious (−1) or very serious (−2) uncertainty about directness serious (−1) or very serious (−2) imprecision of the data serious (−1) or very serious (−2) probability of reporting bias The grade of evidence is then assigned one of the labels “high”, “moderate”, “low”, or “very low”.

3. Results

3.1. Study Selection

The literature search produced 4985 (HFNC vs. NIV: 3696/APP: 1289) records and after deduplication resulted in 3938 (HFNC vs. NIV: 2914/APP: 1024) records. After title and abstract screening, 22 records (APP: 13/HFNC vs. NIV: 9) were identified as potential RCTs. We retrieved 22 full-text articles including registry entries (HFNC vs. NIV: 9/APP: 13). Of those, 17 records were excluded (HFNC vs. NIV: 4, no results published; 2 duplicates/APP: 2, wrong population; 9, meta-trial), resulting in 5 records (APP: 2/HFNC vs. NIV: 3) for data extraction. The detailed search process is outlined in Figure 1.
Figure 1

PRISMA flow diagram. HFNC: high-flow nasal cannula, NIV non-invasive ventilation, APP: awake prone-positioning; Adapted from: [24].

3.2. Study Characteristics

3.2.1. HFNC vs. NIV

We included three unblinded RCTs for the direct comparison of HFNC vs. NIV. Data from the largest study by Perkins et al., a pragmatic multicenter multinational adaptive three-armed RCT with 797 patients allocated to either HFNC or NIV, is currently available from a preprint version only [25]. We omitted patients from the “O2-insufflation only” arm of this preprint. Apart from that, there were two smaller conventional two-armed RCTs: the Italian multicenter study by Grieco et al. [26] and the Indian single-center study by Nair et al. [27], both allocating 109 patients and available as peer-reviewed publications. All three trials enrolled hospitalized patients with similar disease severity at the verge of WHO stages 5 and 6, i.e., with severe respiratory failure (means of PaO2/FiO2 ratio ranging from 102 to 139 and tachypnea present) but invasive ventilation not yet imminent. All included RCTs conducted standard care according to their local clinical practice: dexamethasone was given (Grieco, Perkins), as well as remdesivir (Grieco) and since January 2021 Tocilizumab (Perkins). Every study allowed or encouraged awake prone positioning for both treatment groups, although Perkins (HFNC group: 58.3% vs. NIV group: 54.5%), Grieco (HFNC group: 60% vs. NIV group: 0%), and Nair (no exact data on APP rate; HFNC group: “almost all[...]” vs. NIV group: “[...]noncompliant[...]”) reported substantial differences of APP rate between HFNC and NIV groups, which could have introduced bias. Overall, there were no relevant differences between the treatment groups in terms of adherence to the intervention protocol (relative number of patients that received the intended intervention: Perkins: 92.1% HFNC vs. 91.6% NIV; Grieco: 87% HFNC vs. 91% NIV; Nair: not reported). The recruitment periods overlapped well, patient characteristics including disease severity with PaO2/FiO2 ratios were similar across studies (indicating moderate ARDS) and standard care and treatment settings were sufficiently homogenous. Of our predefined main outcomes, all three studies reported in-hospital mortality. Other outcomes were presented on different scales or for different time points. Table 1 summarizes the characteristics and intervention details of the included studies along with the reported outcomes.
Table 1

Study characteristics. AE: adverse event, APP: awake prone-positioning, CPAP: continuous positive airway pressure, FiO2: inspiratory fraction of oxygen, HFNC: high-flow nasal cannula, ICU: intensive care unit, IQR: inter-quartile range, NIV: non-invasive ventilation, PaCO2: carbon dioxide partial pressure, PaO2: oxygen partial pressure, PEEP: positive end-exspiratory pressure, RR: relative risk, SD: standard deviation, WHO: world health organization.

AuthorsPopulationInterventionComparatorOutcomesResults per Endpoint
High-flow nasal cannula vs. non-invasive ventilation
Perkins et al. [25]Standard care in both arms: Dexamethasone and Tocilizumab added as standard care in June 2020 and January 2021, respectivelyRecruitment: from April 2020 to May 2021 with ca. 90% of patients recruited between September 2020 and March 2021n = 797 (allocated)age (years): mean57.6 (SD 13.0) in HFNC, 56.7 (SD 12.5) in CPAPsex: 65.2% male vs. 68.4% malecomorbidities: none in 34% vs. 39%, hypertension, morbid obesity, type 2 diabetes requiring medication, chronic lung diseaseclinical status at enrolment: inpatients not intubated with hypoxemic respiratory failure PaO2/FiO2 ratio 139 vs. 132, resp. rate 25 vs. 26n = 417HFNC Local policies, and clinical discretion informed decisions regarding choice of device, set-up, titration, and discontinuation of treatment, mean flow 51 L/minadherence to intended treatment protocol: 92.1%n = 380NIVLocal policies, and clinical discretion informed decisions regarding choice of device, set-up, titration, and discontinuation of treatment, mean PEEP 9.5 (SD 8.4)adherence to intended treatment protocol: 91.6%Endotracheal intubation or death within 30 daysIn-hospital mortality30-day mortalityEndotracheal intubation within 30 daysMean length of stay in hospital (SD)Serious adverse event (as no. of patients with at least one)Adverse events (as no. of patients with at least one)Adverse events (as total no. of events per patients)HFNC 184/414 vs. NIV 137/377: RR 1.22 (1.03 to 1.45)88/404 vs. 72/364: RR 1.10 (0.83 to 1.45)78/415 vs. 63/378: RR 1.13 (0.83 to 1.52)170/414 vs. 126/377: RR 1.23 (1.02 to 1.48)18.3 (20.0) vs. 16.4 (17.5)0/417 vs. 7/380: RR 0.06 (0.00 to 1.06)86/417 vs. 130/380: RR 0.60 (0.48 to 0.76)157/417 vs. 200/380
Grieco et al. [26]Standard care in both arms: Dexamethasone 100%, Remdesivir 81%. Sedation allowed but discouraged (continuous infusion 18%HFNC group vs. 37% in the helmet group). Awake proning allowed, 60% in HFNC vs. 0% in NIV underwent proning. Other aspects according to the clinical practice in each institution.Recruitment: from October 2020 to December 2020n = 109 (allocated)age (years): 63 (IQR 55–69) (intervention)66 (IQR 57–72) (control)sex: male 84% vs. 77%comorbidities: hypertension, diabetes mell., smoking, immunocompromised state, history of cancerclinical status at enrolment: inpatients not intubated with hypoxemic respiratory failure with PaO2/FiO2 ratio equal or below 200: PaO2/FiO2 ratio 102 vs. 105, PaCO2 34 vs. 34 mmHg, resp. rate 28 vs. 28n = 55HFNC for at least 48 h with 60 L/min and FiO2 titrated to SpO2 goal 92%. Stepwise weaning allowed when FiO2 was equal to or lower than 40% and respiratory rate lower than 25/minadherence to intended treatment protocol: received by 87% for 48 h or until intubation, one participant crossed over, other participants were weaned early according to the trial protocoln = 55Helmet NIV for at least 48 h with initial PS 10–12 mbar and PEEP of 10–12 mbar and FiO2 titrated to SpO2 goal 92%. Stepwise weaning allowed when FiO2 was equal to or lower than 40% and respiratory rate lower than 25/minadherence to intended treatment protocol: received by 91% for 48 h or until intubation, 4% received it at least 16 h per day, 4% interrupted treatment, 2% did not receive the allocated treatmentDays free of respiratory support within 28 days Endotracheal intubation within 28 days 28-day mortality60-day mortalityIn-hospital mortalityAdverse events (predefined selection of AEs relevant in respiratory and intensive care medicine, as total no. of events per patients)Mean (SD) in HFNC vs. NIV: 15 (11) vs. 13 (11) with MD 2 days (95% CI, −2 to 6)28/55 vs. 16/54: RR 1.72 (1.06 to 2.79)10/55 vs. 8/54: RR 1.23 (0.52 to 2.87)12/55 vs. 13/54: RR 0.91 (0.46 to 1.80)14/55 vs. 13/54: RR 1.06 (0.55 to 2.04) 70/55 vs. 37/54
Nair et al. [27]Standard care in both arms: clinical management and drug therapy as per institutional protocols without further specification except: awake proning was encouraged, but only in almost all HFNC participants regularly performed.Recruitment: from August 2020 to December 2020n = 109 (allocated)age (years): HFNC 57 (IQR 48–65) vs. NIV 57.5 (IQR 47–64)sex: male 80% vs. 64.8%comorbidities: Diabetes mell., hypertension, coronary heart disease, chronic kidney diseaseclinical status at enrolment: hospitalised, not intubated with hypoxemic respiratory failure despite O2 insufflation: PaO2/FiO2 ratio 105 vs. 111, PaCO2 34 vs. 32 mmHg, resp. rate 30 vs. 31n = 55HFNC through large-bore binasal prongs with a high-flow heated humidifier device, initial gas flow 50 L/min and FIO2of 1.0, flow and FIO2 were subsequently adjusted between 30–60 L/min and 0.5–1.0, to maintainSpO2 of 94% or more.adherence to intended treatment protocol: Not quantified, but “Increased subjectcompliance and ease with which awake proningcould be facilitated in HFNC group could have influencedthe outcome in favor of the latter.”n = 54NIV with either mask/helmet device connected to an ICUventilator, PS of 10–20 cm H2O (aim of obtaining an expired tidalvolume of 7–10 mL per kg of predicted body weight), PEEP 5–10 cm H2O, FIO2 0.5–1.0 titrated to target SpO2 > 94%.adherence to intended treatment protocol: Not quantified, but “Although NIV was initiatedwith PS 10–20 cm H2O, most of the subjects requiredPS) 5 cm H2O, [...]. Subjects on NIV usually felt claustrophobic andfrequently complained of dry mouth, leading torepeated detachments of the oxygenation interface.Moreover, most of the subjects on NIV were not compliant.” The incompliance with NIV could have been even higher than expected due to aggressive initial ventilator settings.Intubation or deathIntubation within 7 daysIn-hospital mortalityVentilator-free days at 28 dHR 0.51 (95% CI 0.28–0.94, p = 0.03)15/55 vs. 25/54: RR 0.59 (0.35 to 0.99)16/55 vs. 25/54: RR 0.63 (0.38 to 1.04); HR 0.54 (0.29 to 1.01)median 28.0 (IQR 27–28) vs. 27.5 (27–28) These data are implausible to us, given that 27% vs. 46% of patients were intubated within 7 days and the respective Kaplan-Meier estimator in the publication. This might be due to an unreported particular definition of this complex endpoint prone to misinterpretation.
awake prone positioning
Ehrmann et al. [28]Recruitment: 4 April 2020–26 January 2021n = 1121n = 564n = 557intubation or deathRR 0.86 (95% CI 0.75 to 0.98)
age (years)61.5 ± 13.3 (intervention)60.7 ± 13.3 (control)(awake) prone positioning for as long as possibleunrestricted (self) positioning except prone28-day mortalityRR 0.87 (0.71 to 1.07)
comorbiditiesdiabetes mellitus, chronic heart disease, obesity intubation within 28 daysRR 0.83 (0.71 to 0.96)
clinical statusinpatient treatment, need for HFNC or NIV, no mechanical ventilation (i.e., WHO clinical progression scale 6) hospitalization: length of hospital stay (censored at 28 days)difference of means −0.2 days (−1.35 to 0.96)
skin lesionsRR 0.5 (0.16 to 1.56)
weaning from HFNC (time to event in days)difference of means -0.9 days (0.35 to 1.45)
Rosén et al. [29]Recruitment: 7 October 2020–7 February 2021n = 75n = 36n = 39intubation within 30 daysRR 1.00 (0.53 to 1.90)
age (years)65 (IQR 53–74; intervention)65 (IQR 55–70; control)(awake) prone positioning ≥16 h/dayunrestricted (self) positioning except prone30-day mortalityRR 2.17 (0.58 to 8.03)
comorbiditiesdiabetes mellitus, arterial hypertension, obesity hospitalization: length of hospital stay (censored after 30 days)difference of means −2.0 days (−7.16 to 3.16)
clinical statusinpatient treatment, need for HFNC or NIV, no mechanical ventilation (i.e., WHO clinical progression scale 6) skin lesionsRR 0.24 (0.06 to 1.04)
days free of HFNCdifference of means 2.0 days (0.13 to 3.87)

3.2.2. APP

We included two RCTs on APP in this systematic review. The study by Ehrmann et al. [28] was designed and conducted as a prospective meta-analysis of six individual multicenter RCTs. As its results were reported and published in a combined publication, we did not assess the individual national RCTs in this systematic review. The second included multicenter RCT by Rosén et al. [29] contributed 75 of the overall 1196 patients included in this review. In both trials, participants were treated in an in-hospital setting. The intervention of APP intended to last for as long as possible in the trial by Ehrmann, whereas Rosén defined a proning duration of at least 16 h per day. This goal was not met (median prone time 9.0 h, IQR 4.4–10.6). Moreover, participants in the control group were also exposed to prone positioning for a median of 3.4 h per day (IQR 1.8–8.4). In the trial by Ehrmann, durations of proning varied widely between the participating countries. Mean proning duration in Spain was 1.7 h/day (SD 1.2), whereas in the Mexican sub-trial patients spent 9.0 (3.2) hours in a prone position. Proning in the control groups occurred only to a very small extent. Of our predefined main outcomes, both studies reported mortality at day 28 as well as need for intubation until day 28. Table 1 summarizes the characteristics of the included studies and the reported outcomes.

3.3. Risk of Bias

3.3.1. HFNC vs. NIV

We assessed risk of bias and methodological quality for both RCTs using the RoB2 tool. In the overall bias assessment, we rated no outcome at low risk, three outcomes with some concerns and 14 with high risk of bias. This was mostly due to the unblinded study design affecting deviations from intended intervention (Perkins, Nair, one outcome Grieco), but also problems in the randomization process (Nair), selection of the reported result (Grieco). Detailed assessment of risk of bias for each outcome is summarized in Table 2.
Table 2

Risk of bias assessment of the included studies per outcome. D1: randomization process, D2: deviations from the intended interventions, D3: missing outcome data, D4: measurement of the outcome, D5: selection of the reported results, HFNC high-flow nasal cannula, NIV: non-invasive ventilation.

StudyOutcomeD1D2D3D4D5Overall
APP
Ehrmann et al. [28]Intubation or death at 28 days
Ehrmann et al.Mortality rate at 28 days
Ehrmann et al.Need for intubation within 28 days
Ehrmann et al.Hospital length of stay (censored at 28 days)
Ehrmann et al.Occurrence of skin lesions
Ehrmann et al.Weaning of HFNC (time to event)
Rosén et al. [29]Mortality rate at day 30
Rosén et al.Need for intubation within 30 days
Rosén et al.Occurrence of skin lesions
Rosén et al.Hospital length of stay (censored at 30 days)
Rosén et al.Days free of HFNC
HFNC vs. NIV
Grieco et al. [26]Mortality rate at 28 days/60 days
Grieco et al.In-hospital mortality
Grieco et al.Intubation up to day 28
Grieco et al.Respirator-free days at 30 days
Grieco et al.Hospital length of stay
Grieco et al.Adverse events
Perkins et al. [25]Intubation or death at 30 days
Perkins et al.In-hospital mortality
Perkins et al.Mortality rate at 30 days
Perkins et al.Hospital length of stay
Perkins et al.Intubation up to day 30
Perkins et al.Serious adverse events
Perkins et al.Adverse events
Nair et al. [27]In-hospital mortality
Nair et al.Intubation rate at 7 days
Nair et al.Intubation or death
Nair et al.Hospital length of stay

low risk, some concerns, high risk.

3.3.2. APP

In total, the studies contributed 11 relevant outcomes. Due to the nature of the interventions, neither patients nor healthcare providers were able to be blinded in the included trials, which led at least to some concerns in every reported outcome. In the overall bias assessment, we rated one outcome at low risk, five outcomes with some concerns and five with high risk of bias. The outcomes we rated to be at high risk of bias were all from Rosén et al. due to the high amount of awake prone positioning in the control group. Detailed assessment of risk of bias for each outcome is summarized in Table 2.

3.4. Effects of the Intervention

3.4.1. HFNC vs. NIV in COVID-19 Acute Respiratory Failure

The main outcome of in-hospital mortality (to longest follow-up) was reported by the three included RCTs (RR 0.92; 95% CI 0.65–1.33, 986 patients from 3 studies, very low certainty), while two of the studies further reported mortality up to day 30 (RR 1.14; 95% CI 0.86–1.51, 902 patients from 2 studies, very low certainty), hence we do not know whether HFNC compared to NIV increases or decreases the risk of death. We downgraded certainty of evidence for both mortality outcomes due to serious risk of bias, serious imprecision, and indirectness. Perkins provided data for another main outcome, intubation or death at day 28. HFNC compared to NIV may increase intubation or death (RR 1.22, 95% CI 1.03–1.45, 791 patients from 1 study). Certainty was low due to serious risk of bias and serious indirectness. Perkins and Grieco reported intubation within 28 and 30 days. We do not know if HFNC compared to NIV increases the risk of intubation (RR 1.34, 95% CI 1.00–1.80, 900 participants from 2 studies, very low certainty). Downgrading to very low certainty of evidence was due to serious risk of bias, imprecision, and indirectness. Adverse events were reported by Perkins and Grieco, although a predefined selection of events relevant in respiratory and intensive care medicine was made by the latter. As we deemed this selection still useful, we extracted AEs from both trials in the only way the reporting allowed to facilitate comparison: total events per patient in each arm. We do not know if HFNC vs. NIV increases or decreases AEs (Perkins: NIV 200/380 vs. HFNC 157/417; Grieco: 37/54 vs. 70/55, very low certainty). The downgrading to very low certainty is based on serious risk of bias, inconsistency, and indirectness. Length of Hospital stay with a follow-up of 30 days was reported by Perkins and may be longer in the HFNC group (MD 1.9, 95% CI 0.75 less to 4.55 more; baseline 16.4 in NIV group, low certainty). We downgraded due to serious risk of bias, imprecision, and indirectness. Respirator-free days defined as free from invasive ventilation, HFNC, and NIV in one study may have been decreased by HFNC (MD 2.0 days, 95% CI 6.16 less to 2.13 more, with baseline 15 days in the NIV group, low certainty). We downgraded here for very serious imprecision.

3.4.2. APP in COVID-19 Acute Respiratory Failure

The main outcome of mortality at 28 days was reported by both studies (Rosén reported mortality at 30 days). Prone positioning may have little to no effect on mortality at 28 days (RR 1.08, 95% CI 0.51–2.31, 1196 participants from two studies). The certainty of evidence is low for this outcome due to serious risk of bias and serious imprecision. Ehrmann provided data for another main outcome, the combined risk of intubation or death until day 28. APP probably decreases the risk for this outcome (RR 0.86, 95% CI 0.75–0.98, 1121 participants from 1 study). Certainty of evidence was moderate due to serious risk of bias. With moderate certainty of evidence due to serious risk of bias, prone position compared to standard of care probably decreases the rate of intubation (RR 0.83, 95% CI 0.71–0.96, 1196 participants from 2 studies) and probably increases the time of weaning of HFNC slightly (MD 0.9 days, 95% CI 0.35–1.45, 1121 participants from 1 study), but probably has little or no effect on length of hospital stay (difference of means −0.2 days, 95% CI −1.35–0.96, 1196 participants from 2 studies). With low certainty of evidence due to serious risk of bias and imprecision, APP may decrease the days free of HFNC slightly (difference of means 2 days, 95% CI 0.13–3.87, 50 participants from 1 study). With regard to the occurrence of skin lesions due to the intervention, we are uncertain whether APP increases or decreases the risk for this outcome (RR 0.5, 95% CI 0.16–1.56, 1196 participants from 2 studies). Effects of the interventions are detailed in the summary of findings tables, Table 3 for HNFC vs. NIV and Table 4 for APP.
Table 3

Effects of HFNC vs. NIV on predefined outcomes. RR: relative risk; CI: confidence interval; HFNC: high-flow nasal cannula; NIV: non-invasive ventilation.

OutcomeResultsAbsolute Effect EstimatesCertainty of Evidence
NIVHFNC
Mortality: in-hospital (up to longest follow-up)RR: 0.92(95% CI 0.65–1.33)986 patients from 3 studies233per 1000214per 1000very lowdue to serious risk of bias, serious imprecision and indirectness
difference: 19 less per 1000(95% CI 82 less to 77 more)
Mortality: up to day 30 (follow-up 28 to 30 days)RR: 1.14(95% CI 0.86–1.51)902 patients from 2 studies164per 1000187per 1000very lowdue to serious risk of bias, serious imprecision and indirectness
difference: 23 more per 1000(95% CI 23 less to 84 more)
Intubation or death (follow-up 30 days)RR 1.22(95% CI 1.03–1.45)791 patients from 1 study363per 1000443per 1000lowdue to serious risk of bias and indirectness
difference: 80 more per 1000(95% CI 11 more to 164 more)
Intubation (follow-up 28 to 30 days)RR 1.34(95% CI 1.00–1.80)900 patients from 2 studies329per 1000441per 1000very lowdue to serious risk of bias, serious imprecision and indirectness
difference: 112 more per 1000(95% CI 0 more to 263 more)
Serious adverse events (follow-up 30 days)RR 0.06(95% CI 0.00–1.06)797 patients from 1 study18per 10001per 1000very low due to serious imprecision, serious risk of bias and indirectness
difference 17 less per 1000 (95% CI 18 less to 2 more)
Adverse events (follow-up 30 days)906 patients from 2 studiesPerkins: NIV 200/380 vs. HFNC 157/417 (as no. events in total)Grieco: 37/54 vs. 70/55very lowdue to serious risk of bias, inconsistency and indirectness
Length of hospital stay(censored at 30 days)difference of means +1.90 days768 patients from 1 study16.4 days18.3 dayslow due to serious risk of bias, serious imprecision and indirectness
difference: 1.90 days more(95% CI 0.75 less to 4.55 more)
Respiratory-support-free days: no invasive ventilation, HFNC, or NIV (follow-up 28 days)difference of means 2 days109 patients from 1 study15 (11)13 (11)low due very serious imprecision
difference: 2.0 days more(95% CI 6.16 less to 2.13 more)
Table 4

Summary of findings—effects of awake prone positioning on predefined outcomes. RR: relative risk; CI: confidence interval; SoC: standard of care; APP: awake prone positioning; HFNC: high-flow nasal cannula.

OutcomeResultsAbsolute Effect EstimatesCertainty of Evidence
SoCAPP
All-cause mortality (28 days)RR: 1.08(95% CI 0.51–2.31)1196 patients from 2 studies227per 1000245per 1000lowdue to serious risk of bias and serious imprecision
difference: 18 more per 1000(95% CI 111 less to 297 more)
Intubation or death at 28 daysRR 0.86(95% CI 0.75–0.98)1121 patients from 1 study461per 1000396per 1000moderatedue to serious risk of bias
difference: 65 less per 1000(95% CI 115 less to 9 less)
Intubation within 28 daysRR 0.83(95% CI 0.71–0.96)1196 patients from 2 studies396per 1000329per 1000moderatedue to serious risk of bias
difference: 67 less per 1000(95% CI 115 less to 16 less)
Hospital length of stay(censored at 28 days)difference of means −0.2 days1196 patients from 2 studies16.6 days16.4 daysmoderate due to serious risk of bias
difference: 0.2 days less(95% CI 1.35 less to 0.96 more)
Days free of HFNC within 30 daysdifference of means 2 days50 patients from 1 study24 days26 dayslow due to serious risk of bias and serious imprecision
difference: 2.0 days more(95% CI 0.13 more to 3.87 more)
Weaning of HFNC (time to event within 28 days)difference of means 0.9 days1121 patients from 1 study6.0 days6.9 daysmoderate due to serious risk of bias
difference: 0.9 days more(95% CI 0.35 more to 1.45 more)
Skin lesions within 28 daysRR 0.5(95% CI 0.16–1.56)1196 patients from 2 studies32per 100016per 1000very low due to serious risk of bias and very serious imprecision
difference: 16 less per 1000(95% CI 27 less to 18 more)

4. Discussion

This review aimed to assess the efficacy and safety of different non-invasive strategies of respiratory support for the treatment of COVID-19. So far, substantial recommendations on the use of non-invasive respiratory techniques in COVID-19 acute respiratory failure could not be made due to a lack of evidence. Nevertheless, previous studies in non-COVID-19 acute respiratory failure have shown beneficial outcomes for patients treated with HFNC or NIV [30]. Similarly, prone positioning has been a key part of non-COVID-19 ARDS treatment strategies for years [31]. Considering the urgent need for effective and efficient treatment strategies in the face of an ongoing pandemic, HFNC/NIV and APP could benefit both patients and healthcare systems alike. Obviously, the dynamic of the pandemic with changes in standard of care, vaccination as well as virus variants leaves us with the problem of transferability to present and future patients. Regarding the question whether HFNC is superior to NIV as non-invasive respiratory support in COVID-19 patients suffering acute respiratory failure, we identified three RCTs (Grieco 2021, Nair 2021, Perkins 2021). These had been conducted in three different countries, including two high-income (United Kingdom, Italy) and one lower-middle-income country (India) [32]. The largest study, Perkins, included a considerable share (about 15%) of patients without laboratory-confirmed COVID-19. The available evidence on APP is based on two RCTs, of which Ehrmann et al. was designed and conducted as a prospective meta-analysis/multi-national meta-RCT [28] and contributed more than 90% of the patients included in this review. Both trials recruited patients during comparable time periods and relevant accompanying treatments as part of SoC were similar (e.g., administration of glucocorticoids in a large proportion of all patients). The included trials reported difficulties applying the intended intervention in a standardized manner: Ehrmann et al. aimed to apply awake prone positioning for as long as possible each day. However, the absolute durations of actual APP varied widely between the involved countries (1.7 ± 1.2 h in Spain vs. 9.0 ± 3.2 h in Mexico; overall trial: 5.6 ± 4.4 h). Longer APP durations were associated with greater treatment success. APP in the SoC control group was little to none, which was an issue the trial by Rosén was facing. There, the authors described increasing durations of APP in patients from the control group, which eventually also led to the termination of the trial. The five RCTs on non-invasive respiratory strategies took place during the second half of 2020 and first half of 2021, hence presumably different variants of SARS-CoV-2 were prevalent and vaccination programs, not yet rolled out at full scale or at all. Although basic pathophysiology might not, pharmacologic and non-pharmacologic treatment recommendations and practice in COVID-19 have changed over time. We cannot quantify possible indirectness but consider it to be of minor influence. The certainty of the evidence regarding our predefined outcomes was downgraded for all outcomes, mostly due to serious risk of bias, serious imprecision and/or serious indirectness. In our analysis of the study data on benefits and harms of HFNC compared to NIV, there remains uncertainty whether HFNC slightly increases or decreases mortality (different mortality outcomes, i.e., in-hospital mortality, mortality up to day 30 with different effect directions). Nonetheless, NIV may reduce the need for intubation up to day 30 and the composite endpoint “need for intubation or death”. Regarding patient safety, both HFNC and NIV resulted in numerous adverse events. However, we are uncertain whether either one resulted in more adverse events due to very low certainty of the evidence. NIV resulted in considerably more serious adverse events than HFNC (7/380 vs. 0/417, Perkins), yet again with very low certainty of evidence. In summary, based on our analyses there is no evidence for a substantial benefit in mortality for either non-invasive respiratory therapy technique. However, NIV may result in a decreased need for endotracheal intubation, which certainly must be considered an outcome relevant to the patient. Considering the question of benefits and harms of awake prone positioning as an additional strategy of non-invasive respiratory support for COVID-19 patients, with low certainty APP seems to have little or no effect on mortality, while there is evidence of moderate certainty that APP reduces the need for endotracheal intubation. To make use of the presented evidence, national guideline committees could use our analyses for evidence-based decision making in the context of their local resources and requirements. Based on the patient-centered outcomes identified in this work, we consider NIV accompanied by APP to be the method of choice for respiratory support in the non-intubated COVID-19 patient with hypoxemic respiratory failure. There is still lack of evidence with regards to overall mortality, the extent of adverse events, and for the treatment of distinct groups of patients (e.g., obesity) or pathophysiological conditions (e.g., prominent hypercapnic respiratory failure). Further high-quality trials will need to address these open questions. As it has strong implications for clinical research, we would like to stress that immanent bias in open-label studies should be countered as best as possible by increased rigor in planning, conducting, and reporting of the trials to generate useful evidence ready for meta-analysis.

5. Conclusions

There was no certain evidence that one of the three different non-invasive respiratory support techniques (HFNC, NIV and APP) increases or decreases mortality in patients with COVID-19 acute respiratory failure. With moderate certainty our analysis revealed that NIV compared to HFNC and APP compared to SoC decrease the need for endotracheal intubation. Given the uncertain safety profiles of NIV and HFNC, critically ill patients should be closely monitored. Irrespective of the kind of respiratory support, APP seems to be an advantageous supportive measure for non-intubated patients in respiratory failure due to COVID-19.
  26 in total

1.  Physiological Comparison of High-Flow Nasal Cannula and Helmet Noninvasive Ventilation in Acute Hypoxemic Respiratory Failure.

Authors:  Domenico Luca Grieco; Luca S Menga; Valeria Raggi; Filippo Bongiovanni; Gian Marco Anzellotti; Eloisa S Tanzarella; Maria Grazia Bocci; Giovanna Mercurio; Antonio M Dell'Anna; Davide Eleuteri; Giuseppe Bello; Riccardo Maviglia; Giorgio Conti; Salvatore Maurizio Maggiore; Massimo Antonelli
Journal:  Am J Respir Crit Care Med       Date:  2020-02-01       Impact factor: 21.405

2.  Awake pronation with helmet continuous positive airway pressure for COVID-19 acute respiratory distress syndrome patients outside the ICU: A case series.

Authors:  G Paternoster; C Sartini; E Pennacchio; F Lisanti; G Landoni; L Cabrini
Journal:  Med Intensiva (Engl Ed)       Date:  2020-09-06

3.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

Authors:  Matthew J Page; Joanne E McKenzie; Patrick M Bossuyt; Isabelle Boutron; Tammy C Hoffmann; Cynthia D Mulrow; Larissa Shamseer; Jennifer M Tetzlaff; Elie A Akl; Sue E Brennan; Roger Chou; Julie Glanville; Jeremy M Grimshaw; Asbjørn Hróbjartsson; Manoj M Lalu; Tianjing Li; Elizabeth W Loder; Evan Mayo-Wilson; Steve McDonald; Luke A McGuinness; Lesley A Stewart; James Thomas; Andrea C Tricco; Vivian A Welch; Penny Whiting; David Moher
Journal:  BMJ       Date:  2021-03-29

4.  Awake prone positioning for COVID-19 acute hypoxaemic respiratory failure: a randomised, controlled, multinational, open-label meta-trial.

Authors:  Stephan Ehrmann; Jie Li; Miguel Ibarra-Estrada; Yonatan Perez; Ivan Pavlov; Bairbre McNicholas; Oriol Roca; Sara Mirza; David Vines; Roxana Garcia-Salcido; Guadalupe Aguirre-Avalos; Matthew W Trump; Mai-Anh Nay; Jean Dellamonica; Saad Nseir; Idrees Mogri; David Cosgrave; Dev Jayaraman; Joan R Masclans; John G Laffey; Elsa Tavernier
Journal:  Lancet Respir Med       Date:  2021-08-20       Impact factor: 30.700

5.  Clinical features, ventilatory management, and outcome of ARDS caused by COVID-19 are similar to other causes of ARDS.

Authors:  Carlos Ferrando; Fernando Suarez-Sipmann; Ricard Mellado-Artigas; María Hernández; Alfredo Gea; Egoitz Arruti; César Aldecoa; Graciela Martínez-Pallí; Miguel A Martínez-González; Arthur S Slutsky; Jesús Villar
Journal:  Intensive Care Med       Date:  2020-07-29       Impact factor: 41.787

Review 6.  A minimal common outcome measure set for COVID-19 clinical research.

Authors: 
Journal:  Lancet Infect Dis       Date:  2020-06-12       Impact factor: 25.071

7.  Successful awake proning is associated with improved clinical outcomes in patients with COVID-19: single-centre high-dependency unit experience.

Authors:  Rob J Hallifax; Benedict Ml Porter; Patrick Jd Elder; Sarah B Evans; Chris D Turnbull; Gareth Hynes; Rachel Lardner; Kirsty Archer; Henry V Bettinson; Annabel H Nickol; William G Flight; Stephen J Chapman; Maxine Hardinge; Rachel K Hoyles; Peter Saunders; Anny Sykes; John M Wrightson; Alastair Moore; Ling-Pei Ho; Emily Fraser; Ian D Pavord; Nicholas P Talbot; Mona Bafadhel; Nayia Petousi; Najib M Rahman
Journal:  BMJ Open Respir Res       Date:  2020-09

8.  The role for high flow nasal cannula as a respiratory support strategy in adults: a clinical practice guideline.

Authors:  Bram Rochwerg; Sharon Einav; Dipayan Chaudhuri; Jordi Mancebo; Tommaso Mauri; Yigal Helviz; Ewan C Goligher; Samir Jaber; Jean-Damien Ricard; Nuttapol Rittayamai; Oriol Roca; Massimo Antonelli; Salvatore Maurizio Maggiore; Alexandre Demoule; Carol L Hodgson; Alain Mercat; M Elizabeth Wilcox; David Granton; Dominic Wang; Elie Azoulay; Lamia Ouanes-Besbes; Gilda Cinnella; Michela Rauseo; Carlos Carvalho; Armand Dessap-Mekontso; John Fraser; Jean-Pierre Frat; Charles Gomersall; Giacomo Grasselli; Gonzalo Hernandez; Sameer Jog; Antonio Pesenti; Elisabeth D Riviello; Arthur S Slutsky; Renee D Stapleton; Daniel Talmor; Arnaud W Thille; Laurent Brochard; Karen E A Burns
Journal:  Intensive Care Med       Date:  2020-11-17       Impact factor: 17.440

9.  Physiological and quantitative CT-scan characterization of COVID-19 and typical ARDS: a matched cohort study.

Authors:  Davide Chiumello; Mattia Busana; Silvia Coppola; Federica Romitti; Paolo Formenti; Matteo Bonifazi; Tommaso Pozzi; Maria Michela Palumbo; Massimo Cressoni; Peter Herrmann; Konrad Meissner; Michael Quintel; Luigi Camporota; John J Marini; Luciano Gattinoni
Journal:  Intensive Care Med       Date:  2020-10-21       Impact factor: 17.440

10.  Management of hospitalised adults with coronavirus disease 2019 (COVID-19): a European Respiratory Society living guideline.

Authors:  James D Chalmers; Megan L Crichton; Pieter C Goeminne; Bin Cao; Marc Humbert; Michal Shteinberg; Katerina M Antoniou; Charlotte Suppli Ulrik; Helen Parks; Chen Wang; Thomas Vandendriessche; Jieming Qu; Daiana Stolz; Christopher Brightling; Tobias Welte; Stefano Aliberti; Anita K Simonds; Thomy Tonia; Nicolas Roche
Journal:  Eur Respir J       Date:  2021-04-15       Impact factor: 33.795

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1.  Awake prone positioning for patients with COVID-19 pneumonia in intensive care unit: A systematic review and meta-analysis.

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